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- Tasks: Design and build AI tools that transform enterprise systems into smart workflows.
- Company: Leading tech firm pioneering in AI solutions.
- Benefits: Competitive daily rate, flexible working options, and a chance to work on groundbreaking projects.
- Other info: Exciting contract role with opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong Python skills and experience with AI frameworks required.
The predicted salary is between 68000 - 85000 ÂŁ per year.
This programme delivers a production-grade enterprise agentic AI platform, with MCP as the extensibility layer.
Responsibilities
- Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.
- Implement Skills that combine tools, data, and reasoning into structured, repeatable, and governed workflows.
- Contribute to the internal AI assistant’s agentic framework, including planning, tool invocation, and orchestration logic.
- Develop secure API wrappers for systems that lack appropriate authentication, authorisation, or entitlement mechanisms.
- Work closely with product engineering teams in a “build-for” model, transferring knowledge and establishing reusable engineering patterns.
- Shape the developer experience for MCP and Skills, including templates, contribution standards, and documentation.
- Collaborate with Quality Engineering and SRE teams to ensure solutions meet requirements for reliability, governance, and operational readiness.
Skills & Experience Required
- Strong Python development experience in production environments.
- Hands-on experience with LLMs, agent frameworks, and agentic reasoning patterns.
- Practical understanding of Model Context Protocol (MCP), including tool and server design patterns.
- Experience building REST APIs, ideally using FastAPI.
- Familiarity with prompt engineering and retrieval-augmented generation (RAG) architectures.
- Experience with containerisation and Kubernetes-based deployment environments.
- Ability to operate across platform, product, and governance boundaries in large enterprise settings.
Machine Learning Engineer (hybrid or remote) in London employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (hybrid or remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, and API development. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to machine learning and be ready to discuss your experience with containerisation and Kubernetes.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Machine Learning Engineer (hybrid or remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your Python development experience and any hands-on work with LLMs or agent frameworks. We want to see how your skills match up with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your experience aligns with our needs. Don’t forget to mention any relevant projects you've worked on that showcase your skills.
Showcase Your Projects: If you've got any projects that demonstrate your expertise in building REST APIs or working with containerisation, make sure to include them. We love seeing practical examples of your work, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Let’s get your journey started!
How to prepare for a job interview at Cititec
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with LLMs and agent frameworks. Be prepared to explain how you've implemented these technologies in past projects, as this will show your practical understanding of the role.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges or case studies. Think about how you would design secure API wrappers or implement workflows using MCP. Practising these scenarios beforehand can help you articulate your thought process clearly.
✨Collaborate Like a Pro
Since the role involves working closely with product engineering teams, be ready to discuss your experience in collaborative environments. Share examples of how you've transferred knowledge or established reusable patterns in previous roles to demonstrate your teamwork skills.
✨Understand the Bigger Picture
Familiarise yourself with the company's mission and how the AI platform fits into their overall strategy. Being able to connect your technical skills to their business goals will show that you're not just a coder, but someone who understands the impact of your work.